
Strategic Applications of IoT and Big Data December 2026 Solved Assignments
Description
Strategic Applications of IoT and Big Data
Q1 A retail company has deployed IoT-enabled shelves, motion sensors, and environmental monitors across 200 stores nationwide to optimise inventory management and reduce product spoilage. The data generated is transmitted using a mix of Wi-Fi and LoRaWAN protocols, then processed in both edge devices and the cloud for real-time decision-making. However, the company has recently experienced incidents where sensitive sales and inventory data was intercepted during transmission, raising concerns on data privacy and compliance. The security team needs to ensure that only authorised staff access specific datasets and that data confidentiality is not compromised during transmission across diverse protocols. Apply IoT data lifecycle management principles to recommend a robust security framework for protecting sensitive retail data both in transit and at rest. How should the company implement encryption, authentication, and access controls across different transmission protocols and storage layers to ensure regulatory compliance and prevent unauthorised data access?
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Q2 (A) NovaTextiles Limited has invested in IoT-enabled sensors for real-time production monitoring. Despite significant data inflow, managers struggle to translate analytics into tangible cost savings and workflow improvements. Meanwhile, supply chain partners express concerns about data privacy, and line supervisors question the robustness of new predictive maintenance protocols compared to traditional practices.Assess the effectiveness of NovaTextiles Limited’s current IoT and big data implementation from multiple stakeholder perspectives. Evaluate how the company can improve its process to balance supply chain transparency, data privacy, and the tangible realization of operational efficiency, recommending justification for adopting advanced analytics tools or refining existing protocols.
(5 Marks)
Q2 (B) A global parcel delivery firm, FleetX, leverages IoT-connected telematics and cloud analytics to improve route optimisation and reduce delivery times. The company has seen cost savings and lower emissions, but some drivers feel that the rigid, algorithm- driven routes decrease responsiveness to on-ground realities and personal safety. Meanwhile, the operations team highlights improved customer satisfaction and compliance with environmental regulations due to optimised routing. FleetX’s board is assessing whether to allow more driver autonomy or rely strictly on centralised, automated routing decisions for all fleets.Critically assess the merits and drawbacks of prioritising automated, data-driven route optimisation versus preserving greater driver autonomy in FleetX’s fleet operations. Which strategy should the board adopt to balance efficiency, employee engagement, safety, and regulatory demands? Provide a comprehensive evaluation to support your recommendation.
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✅ 100% Unique & Plagiarism-Free Assignments
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✅ Hurry!– Last Date: 28TH OCTOBER 2026
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